首页|Low-Enthalpy and High-Entropy Polymer Electrolytes for Li-Metal Battery
Low-Enthalpy and High-Entropy Polymer Electrolytes for Li-Metal Battery
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
万方数据
lonic-conductive solid-state polymer electrolytes are promising for the development of advanced lithium batteries yet a deeper understanding of their underlying ion-transfer mechanism is needed to improve performance.Here we demonstrate the low-enthalpy and high-entropy(LEHE)electrolytes can intrinsically generate remarkably free ions and high mobility,enabling them to efficiently drive lithium-ion storage.The LEHE electrolytes are constructed on the basis of introducing CsPbl3 perovskite quantum dots(PQDs)to strengthen PEO@LiTFSI complexes.An extremely stable cycling＞1000 h at 0.3 mA cm-2 can be delivered by LEHE electrolytes.Also,the as-developed Li|LEHE|LiFePO4 cell retains 92.3％of the initial capacity(160.7 mAh g-1)after 200 cycles.This cycling stability is ascribed to the suppressed charge concentration gradient leading to free lithium dendrites.It is realized by a dramatic increment in lithium-ion transference number(0.57 vs 0.19)and a significant decline in ion-transfer activation energy(0.14 eV vs 0.22 eV)for LEHE electrolytes comparing with PEO@LiTFSI counterpart.The CsPbl3 PQDs promote highly structural disorder by inhibiting crystallization and hence endow polymer electrolytes with low melting enthalpy and high structural entropy,which in turn facilitate long-term cycling stability and excellent rate-capability of lithium-metal batteries.
charge concentration gradientlithium dendriteslithium-metal batterylow-enthalpy and high-entropypolymer electrolyte
Haitao Zhang、Yuchen Wang、Junfeng Huang、Wen Li、Xiankan Zeng、Aili Jia、Hongzhi Peng、Xiong Zhang、Weiqing Yang
展开 >
Key Laboratory of Advanced Technologies of Materials,Ministry of Education,School of Materials Science and Engineering,Southwest Jiaotong University,Chengdu 610031,China
Institute of Electrical Engineering,Chinese Academy of Sciences,Beijing 100190,China
NETL
NSTL
万方数据
